Forecasting the Cement Strength Based on the Principal Component Regression Model

摘要：

In multivariate analysis, the least square method is often used multiple linear regression model. However, the least squares estimation is sometimes far from ideal, this case of resulting is the dependent variable often exist the strong collinearity. This paper discusses the principles of the principal component regression and calculation steps and we use the real-time data of the Jingdezhen City Chongyang Cement Industrial Co., Ltd. to create the model predict it.

关键词： the principal component regression cement strength collinearity model fitting

作者: ZHOU Yongzheng ZHOU Yong KONG Dejuan

作者单位: College of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, P.R.China, 333403

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 363-369

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）